Label set
Create a new label set
A label set is a collection of labels. Create a new label set if you want to upload model predictions and use features such as model-assisted labeling.
Set up the SDK
Create a new label set
Create a new label set with client.add_labelset(). You need to specify the name and (optionally) the description of the new label set.
This is an example dataset
For best performance, create a new dataset and choose a suitable data category.
orUpload errors
Add samples
or drag and drop files
Set up the SDK
Upload a file
Use client.upload_asset() to upload a local file to Segments.ai's asset storage service.
Add a sample
Add a sample with client.add_sample(). For each sample, specify a name and the required sample attributes. If you do not have URLs for your assets, upload the assets to Segments.ai first.
dataset = "segments-demo/bdd100k"
name = "sequence_1"
image_urls = [
"https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/jane/a13358ef-a1ae-443c-8ea1-5f61dd9cdc26.jpg",
"https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/jane/4f47973f-5568-47f1-8a7d-44bfeb6f0f76.jpg",
]
frames = [
{
"name": "frame_00001.jpg",
"image": {
"url": image_urls[0],
},
},
{
"name": "frame_00002.jpg",
"image": {
"url": image_urls[1],
},
},
]
attributes = {"frames": frames}
sample = client.add_sample(dataset, name, attributes)Set the point cloud types
Are you sure you want to delete this label set? All labels in the label set will be deleted as well.
Are you sure you want to delete 0 samples? The corresponding labels will be deleted as well.